低成本集群上的高成本CFD

T. Hauser, T. Mattox, R. LeBeau, H. Dietz, P. Huang
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引用次数: 26

摘要

Navier-Stokes方程(DNS)的直接数值模拟是未来计算流体力学(CFD)工程应用的一项重要技术。但是,DNS需要大量的计算资源。本文提出了一种利用低成本集群硬件实现高成本DNS CFD的新方法。在描述DNS CFD代码DNSTool之后,本文将重点介绍我们开发的技术和工具,以定制该应用程序的集群实现的性能。系统性能的调优涉及到应用程序的重新编码和集群设计的精心设计。使用集群KLAT2(肯塔基Linux Athlon Testbed 2),虽然DNSTool无法与KLAT2在单精度ScaLAPACK上实现的每MFLOPS 0.64美元相匹配,但它非常高效;KLAT2上的DNSTool实现了2.75美元/ MFLOPS双精度和1.86美元/ MFLOPS单精度的性价比。此外,所有的代码和工具都是,或者很快就会作为完整的源代码免费提供。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-Cost CFD on a Low-Cost Cluster
Direct numerical simulation of the Navier-Stokes equations (DNS) is an important technique for the future of computational fluid dynamics (CFD) in engineering applications. However, DNS requires massive computing resources. This paper presents a new approach for implementing high-cost DNS CFD using low-cost cluster hardware. After describing the DNS CFD code DNSTool, the paper focuses on the techniques and tools that we have developed to customize the performance of a cluster implementation of this application. This tuning of system performance involves both recoding of the application and careful engineering of the cluster design. Using the cluster KLAT2 (Kentucky Linux Athlon Testbed 2), while DNSTool cannot match the $0.64 per MFLOPS that KLAT2 achieves on single precision ScaLAPACK, it is very efficient; DNSTool on KLAT2 achieves price/performance of $2.75 per MFLOPS double precision and $1.86 single precision. Further, the code and tools are all, or will soon be, made freely available as full source code.
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